Prosecution Insights
Prosecution Insights
Technology areas: Computing & Software • Transportation, E-Commerce & Mechanical Systems
19 pending office actions • 12 art units • 19 examiners • 0 of 19 (0%) have an AI response strategy ready • 3 patents granted in the last 365 days
C3.ai Inc. manages a substantial portfolio in the Computing & Software technology area, currently featuring 19 pending office actions. These actions are distributed among 19 distinct examiners. This one-to-one ratio between actions and examiners suggests a highly diversified prosecution landscape. The company's active matters are spread across 12 distinct art units, indicating a broad technical footprint within the software domain.
The busiest examiner, RACIC, MILENA, is responsible for 1 pending office action. Because there are 19 distinct examiners for 19 pending actions, no single examiner holds a majority of the workload. The presence of 12 distinct art units indicates that the company's software innovations span a wide range of technical classifications at the patent office. This decentralized structure means that practitioners must navigate a variety of examiner styles and art unit specificities across the 19 pending office actions.
Based on the USPTO statutory response window for each pending office action. 6 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.
Every pending office action with a known statutory deadline, placed on a days-until-due axis. Dots left of Today are overdue; the further right, the more runway. Cases that share a deadline window stack vertically. 6 of the docket's apps have a known mailing date.
Difficulty is derived from the rejection statutes on the most recent pending office action. §101-driven and multi-statute cases are graded Hard; §112-only and obviousness-type double-patenting cases are graded Easy; everything else is Medium. "Unknown" means we have not yet parsed a statute for that office action.
| Bucket | Cases |
|---|---|
| §101 only | 3 (16%) |
| §101 + other | 10 (53%) |
| §103 only | 3 (16%) |
| §102 only | 1 (5%) |
| Multi-statute (no §101) | 2 (11%) |
How the docket's pending cases split across USPTO tech-center bands.
Manual office-action response work runs about 10 hours per case. The time-saved bands below show what IP Author's prosecution pipeline typically delivers — a conservative 20% on the low end, 35% in the middle, 50% on the high end.
| Examiner | Apps on this docket | Allow rate | Interview lift |
|---|---|---|---|
| RACIC, MILENA | 1 | 47.9% | +44.9% |
| SHANMUGASUNDARAM, KANNAN | 1 | 72.4% | +35.7% |
| DAVIS, ZACHARY A | 1 | 53.4% | +21.6% |
| BADAWI, SHERIEF | 1 | 58.1% | +10.8% |
| PHILLIPS, III, ALBERT M | 1 | 81.5% | +12.7% |
| UDDIN, MOHAMMED R | 1 | 78.0% | +30.0% |
| CORRIELUS, JEAN M | 1 | 84.0% | +12.5% |
| NGUYEN, PHILLIP H | 1 | 90.6% | +11.6% |
| HOLZMACHER, DERICK J | 1 | 44.3% | +28.4% |
| KWON, JUN | 1 | 41.0% | +47.2% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 8 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 17807937 | METHODS, PROCESSES, AND SYSTEMS TO DEPLOY ARTIFICIAL INTELLIGENCE (AI)-BASED CUSTOMER RELATIONSHIP MANAGEMENT (CRM) SYSTEM USING MODEL-DRIVEN SOFTWARE ARCHITECTURE | IQBAL, MUSTAFA | 124d overdue |
| 18654876 | MACHINE LEARNING-BASED PRODUCTION OPTIMIZERS | HOLZMACHER, DERICK J | 85d overdue |
| 18822035 | ENTERPRISE GENERATIVE ARTIFICIAL INTELLIGENCE ARCHITECTURE | CORRIELUS, JEAN M | 60d overdue |
| 18984498 | DYNAMIC ARTIFICIAL INTELLIGENCE-BASED BLUEPRINTING GENERATION AND EXECUTION PLATFORM | PHILLIPS, III, ALBERT M | 2d overdue |
| 19201351 | SYSTEMS AND METHODS FOR INVENTORY MANAGEMENT AND OPTIMIZATION | RACIC, MILENA | — |
| 19007308 | SYSTEMS AND METHODS FOR PROVIDING CYBERSECURITY ANALYSIS BASED ON OPERATIONAL TECHNOLOGIES AND INFORMATION TECHNOLOGIES | DAVIS, ZACHARY A | — |
| 18991198 | AGENTIC ARTIFICIAL INTELLIGENCE FOR A SYSTEM OF AGENTS | BADAWI, SHERIEF | — |
| 18780088 | INTELLIGENT DATA PROCESSING SYSTEM WITH MULTI-INTERFACE FRONTEND AND BACKEND | NGUYEN, PHILLIP H | — |
Cases in front of an examiner whose interview lift is 10 percentage points or more — i.e. interviewed cases historically resolve more favorably than non-interviewed ones. The top 8 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18980861 | MODEL-ENABLED DATA PIPELINE GENERATION | UDDIN, MOHAMMED R | 126d overdue |
| 18654876 | MACHINE LEARNING-BASED PRODUCTION OPTIMIZERS | HOLZMACHER, DERICK J | 85d overdue |
| 18822035 | ENTERPRISE GENERATIVE ARTIFICIAL INTELLIGENCE ARCHITECTURE | CORRIELUS, JEAN M | 60d overdue |
| 19060273 | GENERATIVE ARTIFICIAL INTELLIGENCE ENTERPRISE SEARCH | SHANMUGASUNDARAM, KANNAN | 4d overdue |
| 18984498 | DYNAMIC ARTIFICIAL INTELLIGENCE-BASED BLUEPRINTING GENERATION AND EXECUTION PLATFORM | PHILLIPS, III, ALBERT M | 2d overdue |
| 19201351 | SYSTEMS AND METHODS FOR INVENTORY MANAGEMENT AND OPTIMIZATION | RACIC, MILENA | — |
| 19007308 | SYSTEMS AND METHODS FOR PROVIDING CYBERSECURITY ANALYSIS BASED ON OPERATIONAL TECHNOLOGIES AND INFORMATION TECHNOLOGIES | DAVIS, ZACHARY A | — |
| 18991198 | AGENTIC ARTIFICIAL INTELLIGENCE FOR A SYSTEM OF AGENTS | BADAWI, SHERIEF | — |
| Art Unit | Apps |
|---|---|
| 3625 | 3 |
| 2159 | 2 |
| 2168 | 1 |
| 2492 | 1 |
| 2169 | 1 |
| 2161 | 1 |
| 2164 | 1 |
| 3624 | 1 |
| 2141 | 1 |
| 2199 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19201351 | SYSTEMS AND METHODS FOR INVENTORY MANAGEMENT AND OPTIMIZATION | RACIC, MILENA | — | §101§103 | Non-Final OA | — | Pending | May 07, 2025 |
| 19060273 | GENERATIVE ARTIFICIAL INTELLIGENCE ENTERPRISE SEARCH | SHANMUGASUNDARAM, KANNAN | 2168 | §103 | Final Rejection | 4d overdue | Pending | Feb 21, 2025 |
| 19007308 | SYSTEMS AND METHODS FOR PROVIDING CYBERSECURITY ANALYSIS BASED ON OPERATIONAL TECHNOLOGIES AND INFORMATION TECHNOLOGIES | DAVIS, ZACHARY A | 2492 | §102§112 | Non-Final OA | — | Pending | Dec 31, 2024 |
| 18991198 | AGENTIC ARTIFICIAL INTELLIGENCE FOR A SYSTEM OF AGENTS | BADAWI, SHERIEF | 2169 | §101§103 | Final Rejection | — | Pending | Dec 20, 2024 |
| 18984498 | DYNAMIC ARTIFICIAL INTELLIGENCE-BASED BLUEPRINTING GENERATION AND EXECUTION PLATFORM | PHILLIPS, III, ALBERT M | 2159 | §101 | Final Rejection | 2d overdue | Pending | Dec 17, 2024 |
| 18980861 | MODEL-ENABLED DATA PIPELINE GENERATION | UDDIN, MOHAMMED R | 2161 | §103 | Final Rejection | 126d overdue | Pending | Dec 13, 2024 |
| 18822035 | ENTERPRISE GENERATIVE ARTIFICIAL INTELLIGENCE ARCHITECTURE | CORRIELUS, JEAN M | 2159 | §101 | Non-Final OA | 60d overdue | Pending | Aug 30, 2024 |
| 18780088 | INTELLIGENT DATA PROCESSING SYSTEM WITH MULTI-INTERFACE FRONTEND AND BACKEND | NGUYEN, PHILLIP H | — | §101§103 | Non-Final OA | — | Pending | Jul 22, 2024 |
| 18654876 | MACHINE LEARNING-BASED PRODUCTION OPTIMIZERS | HOLZMACHER, DERICK J | 3625 | §101§103 | Final Rejection | 85d overdue | Pending | May 03, 2024 |
| 18651650 | ENTERPRISE GENERATIVE ARTIFICIAL INTELLIGENCE ANTI-HALLUCINATION AND ATTRIBUTION ARCHITECTURE | KWON, JUN | 2164 | §101§103 | Final Rejection | — | Pending | Apr 30, 2024 |
| 18542676 | MACHINE LEARNING MODEL ADMINISTRATION AND OPTIMIZATION | COLEMAN, PAUL | — | §101§103§112 | Non-Final OA | — | Pending | Dec 16, 2023 |
| 18542583 | GENERATIVE ARTIFICIAL INTELLIGENCE CRAWLING AND CHUNKING | WAESCO, JOSEPH M | — | §101§103 | Non-Final OA | — | Pending | Dec 15, 2023 |
| 18490020 | ARTIFICIAL INTELLIGENCE TRANSACTION RISK SCORING AND ANOMALY DETECTION | MUNSON, PATRICIA H | 3624 | §102Other | Final Rejection | — | Pending | Oct 19, 2023 |
| 18185186 | MACHINE LEARNING PIPELINE GENERATION AND MANAGEMENT | TANK, ANDREW L | 2141 | §103§112 | Final Rejection | — | Pending | Mar 16, 2023 |
| 18185210 | INTELLIGENT DATA PROCESSING SYSTEM WITH METADATA GENERATION FROM ITERATIVE DATA ANALYSIS | MITCHELL, JASON D | 2199 | §103 | Non-Final OA | — | Pending | Mar 16, 2023 |
| 18162587 | RESOURCE-TASK NETWORK (RTN)-BASED TEMPLATED PRODUCTION SCHEDULE OPTIMIZATION (PSO) FRAMEWORK | HATCHER, DEIRDRE D | 3625 | §101§102§103 | Final Rejection | — | Pending | Jan 31, 2023 |
| 17932862 | AI-BASED HYPERPARAMETER TUNING IN SIMULATION-BASED OPTIMIZATION | GUILIANO, CHARLES A | 3623 | §101§103 | Final Rejection | — | Pending | Sep 16, 2022 |
| 17807937 | METHODS, PROCESSES, AND SYSTEMS TO DEPLOY ARTIFICIAL INTELLIGENCE (AI)-BASED CUSTOMER RELATIONSHIP MANAGEMENT (CRM) SYSTEM USING MODEL-DRIVEN SOFTWARE ARCHITECTURE | IQBAL, MUSTAFA | 3625 | §101 | Final Rejection | 124d overdue | Pending | Jun 21, 2022 |
| 17705094 | SYSTEMS AND METHODS FOR PROCESSING DIFFERENT DATA TYPES | NIMOX, RAYMOND LONDALE | 2857 | §101§102§103 | Final Rejection | — | Pending | Mar 25, 2022 |
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